Pandas Profiling Report

Dataset statistics

Number of variables	40
Number of observations	347469
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	106.0 MiB
Average record size in memory	320.0 B

Variable types

Numeric	10
Categorical	30

Alerts

`count_floors_pre_eq` is highly correlated with `height_percentage`	High correlation
`height_percentage` is highly correlated with `count_floors_pre_eq`	High correlation
`has_secondary_use` is highly correlated with `has_secondary_use_agriculture` and 1 other fields	High correlation
`has_secondary_use_agriculture` is highly correlated with `has_secondary_use`	High correlation
`has_secondary_use_hotel` is highly correlated with `has_secondary_use`	High correlation
`count_floors_pre_eq` is highly correlated with `height_percentage`	High correlation
`height_percentage` is highly correlated with `count_floors_pre_eq`	High correlation
`has_secondary_use` is highly correlated with `has_secondary_use_agriculture` and 1 other fields	High correlation
`has_secondary_use_agriculture` is highly correlated with `has_secondary_use`	High correlation
`has_secondary_use_hotel` is highly correlated with `has_secondary_use`	High correlation
`count_floors_pre_eq` is highly correlated with `height_percentage`	High correlation
`height_percentage` is highly correlated with `count_floors_pre_eq`	High correlation
`has_secondary_use` is highly correlated with `has_secondary_use_agriculture` and 1 other fields	High correlation
`has_secondary_use_agriculture` is highly correlated with `has_secondary_use`	High correlation
`has_secondary_use_hotel` is highly correlated with `has_secondary_use`	High correlation
`has_superstructure_cement_mortar_brick` is highly correlated with `ground_floor_type` and 1 other fields	High correlation
`ground_floor_type` is highly correlated with `has_superstructure_cement_mortar_brick`	High correlation
`has_superstructure_rc_non_engineered` is highly correlated with `foundation_type`	High correlation
`has_secondary_use_agriculture` is highly correlated with `has_secondary_use`	High correlation
`roof_type` is highly correlated with `foundation_type` and 1 other fields	High correlation
`has_secondary_use_hotel` is highly correlated with `has_secondary_use`	High correlation
`has_superstructure_mud_mortar_stone` is highly correlated with `foundation_type`	High correlation
`has_secondary_use` is highly correlated with `has_secondary_use_agriculture` and 1 other fields	High correlation
`foundation_type` is highly correlated with `has_superstructure_cement_mortar_brick` and 4 other fields	High correlation
`has_superstructure_rc_engineered` is highly correlated with `foundation_type`	High correlation
`other_floor_type` is highly correlated with `roof_type`	High correlation
`geo_level_1_id` is highly correlated with `foundation_type`	High correlation
`count_floors_pre_eq` is highly correlated with `height_percentage` and 1 other fields	High correlation
`height_percentage` is highly correlated with `count_floors_pre_eq` and 1 other fields	High correlation
`foundation_type` is highly correlated with `geo_level_1_id` and 2 other fields	High correlation
`roof_type` is highly correlated with `foundation_type` and 2 other fields	High correlation
`ground_floor_type` is highly correlated with `foundation_type` and 1 other fields	High correlation
`other_floor_type` is highly correlated with `count_floors_pre_eq` and 6 other fields	High correlation
`position` is highly correlated with `has_superstructure_mud_mortar_brick`	High correlation
`has_superstructure_mud_mortar_stone` is highly correlated with `other_floor_type` and 2 other fields	High correlation
`has_superstructure_mud_mortar_brick` is highly correlated with `position` and 1 other fields	High correlation
`has_superstructure_cement_mortar_brick` is highly correlated with `other_floor_type` and 1 other fields	High correlation
`has_superstructure_timber` is highly correlated with `has_superstructure_bamboo`	High correlation
`has_superstructure_bamboo` is highly correlated with `has_superstructure_timber`	High correlation
`has_superstructure_rc_non_engineered` is highly correlated with `other_floor_type`	High correlation
`has_superstructure_rc_engineered` is highly correlated with `other_floor_type`	High correlation
`has_secondary_use` is highly correlated with `has_secondary_use_agriculture` and 1 other fields	High correlation
`has_secondary_use_agriculture` is highly correlated with `has_secondary_use`	High correlation
`has_secondary_use_hotel` is highly correlated with `has_secondary_use`	High correlation
`building_id` has unique values	Unique
`geo_level_1_id` has 5358 (1.5%) zeros	Zeros
`age` has 34725 (10.0%) zeros	Zeros
`count_families` has 27937 (8.0%) zeros	Zeros

Reproduction

Analysis started	2022-04-28 14:33:31.438641
Analysis finished	2022-04-28 14:36:12.222184
Duration	2 minutes and 40.78 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

Distinct	260601
Distinct (%)	75.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	108583.1875

Minimum	0
Maximum	260600
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	2.7 MiB

Quantile statistics

Minimum	0
5-th percentile	8686.4
Q1	43433
median	86867
Q3	173733
95-th percentile	243226.6
Maximum	260600
Range	260600
Interquartile range (IQR)	130300

Descriptive statistics

Standard deviation	76266.72844
Coefficient of variation (CV)	0.7023806374
Kurtosis	-1.105325047
Mean	108583.1875
Median Absolute Deviation (MAD)	57911
Skewness	0.4155819232
Sum	3.772929158 × 10¹⁰
Variance	5816613867
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2	< 0.1%
57911	2	< 0.1%
57919	2	< 0.1%
57918	2	< 0.1%
57917	2	< 0.1%
57916	2	< 0.1%
57915	2	< 0.1%
57914	2	< 0.1%
57913	2	< 0.1%
57912	2	< 0.1%
Other values (260591)	347449	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	2	< 0.1%
2	2	< 0.1%
3	2	< 0.1%
4	2	< 0.1%
5	2	< 0.1%
6	2	< 0.1%
7	2	< 0.1%
8	2	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
260600	1	< 0.1%
260599	1	< 0.1%
260598	1	< 0.1%
260597	1	< 0.1%
260596	1	< 0.1%
260595	1	< 0.1%
260594	1	< 0.1%
260593	1	< 0.1%
260592	1	< 0.1%
260591	1	< 0.1%

building_id
Real number (ℝ_≥0)

UNIQUE

Distinct	347469
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	525913.5838

Minimum	4
Maximum	1052934
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.7 MiB

Quantile statistics

Minimum	4
5-th percentile	52200.8
Q1	261999
median	526071
Q3	789588
95-th percentile	1000694
Maximum	1052934
Range	1052930
Interquartile range (IQR)	527589

Descriptive statistics

Standard deviation	304354.4791
Coefficient of variation (CV)	0.5787157595
Kurtosis	-1.201737909
Mean	525913.5838
Median Absolute Deviation (MAD)	263777
Skewness	0.001061379559
Sum	1.827386671 × 10¹¹
Variance	9.263164894 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
802906	1	< 0.1%
48839	1	< 0.1%
846160	1	< 0.1%
603042	1	< 0.1%
278056	1	< 0.1%
557238	1	< 0.1%
233008	1	< 0.1%
751316	1	< 0.1%
679265	1	< 0.1%
463952	1	< 0.1%
Other values (347459)	347459	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
12	1	< 0.1%
13	1	< 0.1%
16	1	< 0.1%
17	1	< 0.1%
25	1	< 0.1%
28	1	< 0.1%
31	1	< 0.1%

Value	Count	Frequency (%)
1052934	1	< 0.1%
1052931	1	< 0.1%
1052929	1	< 0.1%
1052926	1	< 0.1%
1052923	1	< 0.1%
1052921	1	< 0.1%
1052915	1	< 0.1%
1052911	1	< 0.1%
1052909	1	< 0.1%
1052908	1	< 0.1%

geo_level_1_id
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.89731458

Minimum	0
Maximum	30
Zeros	5358
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	2.7 MiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	7
median	12
Q3	21
95-th percentile	27
Maximum	30
Range	30
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.032596704
Coefficient of variation (CV)	0.5779963213
Kurtosis	-1.212221228
Mean	13.89731458
Median Absolute Deviation (MAD)	6
Skewness	0.2736617617
Sum	4828886
Variance	64.52260981
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
6	32485	9.3%
26	30002	8.6%
10	29399	8.5%
17	29265	8.4%
7	25565	7.4%
8	25465	7.3%
20	22761	6.6%
21	19944	5.7%
4	19462	5.6%
27	16786	4.8%
Other values (21)	96335	27.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5358	1.5%
1	3588	1.0%
2	1221	0.4%
3	9995	2.9%
4	19462	5.6%
5	3579	1.0%
6	32485	9.3%
7	25565	7.4%
8	25465	7.3%
9	5213	1.5%

Value	Count	Frequency (%)
30	3595	1.0%
29	537	0.2%
28	349	0.1%
27	16786	4.8%
26	30002	8.6%
25	7489	2.2%
24	1737	0.5%
23	1498	0.4%
22	8358	2.4%
21	19944	5.7%

geo_level_2_id
Real number (ℝ_≥0)

Distinct	1418
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	701.8380517

Minimum	0
Maximum	1427
Zeros	53
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	2.7 MiB

Quantile statistics

Minimum	0
5-th percentile	69
Q1	350
median	706
Q3	1050
95-th percentile	1377
Maximum	1427
Range	1427
Interquartile range (IQR)	700

Descriptive statistics

Standard deviation	412.8756742
Coefficient of variation (CV)	0.5882776991
Kurtosis	-1.190841647
Mean	701.8380517
Median Absolute Deviation (MAD)	349
Skewness	0.02506845849
Sum	243866966
Variance	170466.3224
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39	5367	1.5%
158	3317	1.0%
181	2805	0.8%
1387	2675	0.8%
157	2548	0.7%
363	2343	0.7%
463	2310	0.7%
673	2249	0.6%
533	2217	0.6%
883	2129	0.6%
Other values (1408)	319509	92.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	53	< 0.1%
1	252	0.1%
3	90	< 0.1%
4	415	0.1%
5	31	< 0.1%
6	3	< 0.1%
7	131	< 0.1%
8	164	< 0.1%
9	443	0.1%
10	489	0.1%

Value	Count	Frequency (%)
1427	8	< 0.1%
1426	378	0.1%
1425	611	0.2%
1424	8	< 0.1%
1423	3	< 0.1%
1422	277	0.1%
1421	327	0.1%
1420	12	< 0.1%
1419	131	< 0.1%
1418	214	0.1%

geo_level_3_id
Real number (ℝ_≥0)

Distinct	11861
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6258.84676

Minimum	0
Maximum	12567
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	2.7 MiB

Quantile statistics

Minimum	0
5-th percentile	614
Q1	3073
median	6271
Q3	9414
95-th percentile	11928
Maximum	12567
Range	12567
Interquartile range (IQR)	6341

Descriptive statistics

Standard deviation	3646.950564
Coefficient of variation (CV)	0.582687307
Kurtosis	-1.213916607
Mean	6258.84676
Median Absolute Deviation (MAD)	3173
Skewness	0.0005991846632
Sum	2174755225
Variance	13300248.41
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9133	856	0.2%
633	841	0.2%
621	701	0.2%
11246	633	0.2%
11440	614	0.2%
2005	613	0.2%
7723	594	0.2%
9229	516	0.1%
2452	447	0.1%
10445	402	0.1%
Other values (11851)	341252	98.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	< 0.1%
1	6	< 0.1%
2	2	< 0.1%
3	13	< 0.1%
4	1	< 0.1%
5	16	< 0.1%
6	34	< 0.1%
7	2	< 0.1%
8	44	< 0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
12567	2	< 0.1%
12566	2	< 0.1%
12565	8	< 0.1%
12564	7	< 0.1%
12563	32	< 0.1%
12562	4	< 0.1%
12561	25	< 0.1%
12560	21	< 0.1%
12559	8	< 0.1%
12558	6	< 0.1%

count_floors_pre_eq
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.130578555

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.7 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	2
95-th percentile	3
Maximum	9
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.72776061
Coefficient of variation (CV)	0.3415788675
Kurtosis	2.36001261
Mean	2.130578555
Median Absolute Deviation (MAD)	0
Skewness	0.8418180575
Sum	740310
Variance	0.5296355054
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2	209029	60.2%
3	74171	21.3%
1	53705	15.5%
4	7186	2.1%
5	3039	0.9%
6	283	0.1%
7	52	< 0.1%
8	3	< 0.1%
9	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	53705	15.5%
2	209029	60.2%
3	74171	21.3%
4	7186	2.1%
5	3039	0.9%
6	283	0.1%
7	52	< 0.1%
8	3	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	3	< 0.1%
7	52	< 0.1%
6	283	0.1%
5	3039	0.9%
4	7186	2.1%
3	74171	21.3%
2	209029	60.2%
1	53705	15.5%

age
Real number (ℝ_≥0)

ZEROS

Distinct	42
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.53881353

Minimum	0
Maximum	995
Zeros	34725
Zeros (%)	10.0%
Negative	0
Negative (%)	0.0%
Memory size	2.7 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	10
median	15
Q3	30
95-th percentile	60
Maximum	995
Range	995
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	73.52774868
Coefficient of variation (CV)	2.770574072
Kurtosis	157.3751623
Mean	26.53881353
Median Absolute Deviation (MAD)	10
Skewness	12.19598992
Sum	9221415
Variance	5406.329825
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
10	51680	14.9%
15	48074	13.8%
5	45045	13.0%
20	42792	12.3%
0	34725	10.0%
25	32586	9.4%
30	23977	6.9%
35	14420	4.2%
40	14050	4.0%
50	9619	2.8%
Other values (32)	30501	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	34725	10.0%
5	45045	13.0%
10	51680	14.9%
15	48074	13.8%
20	42792	12.3%
25	32586	9.4%
30	23977	6.9%
35	14420	4.2%
40	14050	4.0%
45	6255	1.8%

Value	Count	Frequency (%)
995	1851	0.5%
200	140	< 0.1%
195	2	< 0.1%
190	5	< 0.1%
185	1	< 0.1%
180	11	< 0.1%
175	5	< 0.1%
170	7	< 0.1%
165	2	< 0.1%
160	8	< 0.1%

area_percentage
Real number (ℝ_≥0)

Distinct	86
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.017014467

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.7 MiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	5
median	7
Q3	9
95-th percentile	16
Maximum	100
Range	99
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.388646483
Coefficient of variation (CV)	0.5474165602
Kurtosis	30.64344074
Mean	8.017014467
Median Absolute Deviation (MAD)	2
Skewness	3.53162645
Sum	2785664
Variance	19.26021795
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	55959	16.1%
7	49140	14.1%
5	43556	12.5%
8	37988	10.9%
9	29572	8.5%
4	25675	7.4%
10	21030	6.1%
11	18390	5.3%
3	15687	4.5%
12	10148	2.9%
Other values (76)	40324	11.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	125	< 0.1%
2	4275	1.2%
3	15687	4.5%
4	25675	7.4%
5	43556	12.5%
6	55959	16.1%
7	49140	14.1%
8	37988	10.9%
9	29572	8.5%
10	21030	6.1%

Value	Count	Frequency (%)
100	1	< 0.1%
96	3	< 0.1%
92	3	< 0.1%
90	1	< 0.1%
86	7	< 0.1%
85	5	< 0.1%
84	3	< 0.1%
83	4	< 0.1%
82	1	< 0.1%
81	1	< 0.1%

height_percentage
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	29
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.4347985

Minimum	2
Maximum	32
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.7 MiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	4
median	5
Q3	6
95-th percentile	9
Maximum	32
Range	30
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.915555029
Coefficient of variation (CV)	0.3524610948
Kurtosis	13.53489828
Mean	5.4347985
Median Absolute Deviation (MAD)	1
Skewness	1.762884329
Sum	1888424
Variance	3.669351069
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
5	104869	30.2%
6	61837	17.8%
4	50427	14.5%
7	47360	13.6%
3	34535	9.9%
8	18460	5.3%
2	12348	3.6%
9	7146	2.1%
10	5934	1.7%
12	1246	0.4%
Other values (19)	3307	1.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	12348	3.6%
3	34535	9.9%
4	50427	14.5%
5	104869	30.2%
6	61837	17.8%
7	47360	13.6%
8	18460	5.3%
9	7146	2.1%
10	5934	1.7%
11	1242	0.4%

Value	Count	Frequency (%)
32	90	< 0.1%
31	2	< 0.1%
29	1	< 0.1%
28	2	< 0.1%
26	3	< 0.1%
25	4	< 0.1%
24	6	< 0.1%
23	12	< 0.1%
22	3	< 0.1%
21	21	< 0.1%

land_surface_condition
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

t	288937
n	47413
o	11119

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	t
2nd row	o
3rd row	t
4th row	t
5th row	t

Common Values

Value	Count	Frequency (%)
t	288937	83.2%
n	47413	13.6%
o	11119	3.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
t	288937	83.2%
n	47413	13.6%
o	11119	3.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

foundation_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

r	292374
w	20048
u	18908
i	14182
h	1957

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	r
2nd row	r
3rd row	r
4th row	r
5th row	r

Common Values

Value	Count	Frequency (%)
r	292374	84.1%
w	20048	5.8%
u	18908	5.4%
i	14182	4.1%
h	1957	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
r	292374	84.1%
w	20048	5.8%
u	18908	5.4%
i	14182	4.1%
h	1957	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

roof_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

n	243975
q	81905
x	21589

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	n
2nd row	n
3rd row	n
4th row	n
5th row	n

Common Values

Value	Count	Frequency (%)
n	243975	70.2%
q	81905	23.6%
x	21589	6.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
n	243975	70.2%
q	81905	23.6%
x	21589	6.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ground_floor_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

f	279591
x	33109
v	32731
z	1334
m	704

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	f
2nd row	x
3rd row	f
4th row	f
5th row	f

Common Values

Value	Count	Frequency (%)
f	279591	80.5%
x	33109	9.5%
v	32731	9.4%
z	1334	0.4%
m	704	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
f	279591	80.5%
x	33109	9.5%
v	32731	9.4%
z	1334	0.4%
m	704	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

other_floor_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

q	220286
x	58139
j	52912
s	16132

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	q
2nd row	q
3rd row	x
4th row	x
5th row	x

Common Values

Value	Count	Frequency (%)
q	220286	63.4%
x	58139	16.7%
j	52912	15.2%
s	16132	4.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
q	220286	63.4%
x	58139	16.7%
j	52912	15.2%
s	16132	4.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

position
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

s	269463
t	57258
j	17647
o	3101

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	t
2nd row	s
3rd row	t
4th row	s
5th row	s

Common Values

Value	Count	Frequency (%)
s	269463	77.6%
t	57258	16.5%
j	17647	5.1%
o	3101	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
s	269463	77.6%
t	57258	16.5%
j	17647	5.1%
o	3101	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

plan_configuration
Categorical

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

d	333327
q	7641
u	4909
c	450
s	449
Other values (5)	693

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	d
2nd row	d
3rd row	d
4th row	d
5th row	d

Common Values

Value	Count	Frequency (%)
d	333327	95.9%
q	7641	2.2%
u	4909	1.4%
c	450	0.1%
s	449	0.1%
a	353	0.1%
o	195	0.1%
m	64	< 0.1%
n	54	< 0.1%
f	27	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
d	333327	95.9%
q	7641	2.2%
u	4909	1.4%
c	450	0.1%
s	449	0.1%
a	353	0.1%
o	195	0.1%
m	64	< 0.1%
n	54	< 0.1%
f	27	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_superstructure_adobe_mud
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	316554
1	30915

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	316554	91.1%
1	30915	8.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	316554	91.1%
1	30915	8.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_superstructure_mud_mortar_stone
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

1	264798
0	82671

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	264798	76.2%
0	82671	23.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	264798	76.2%
0	82671	23.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_superstructure_stone_flag
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	335528
1	11941

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	335528	96.6%
1	11941	3.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	335528	96.6%
1	11941	3.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_superstructure_cement_mortar_stone
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	341104
1	6365

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	341104	98.2%
1	6365	1.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	341104	98.2%
1	6365	1.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_superstructure_mud_mortar_brick
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	323848
1	23621

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	323848	93.2%
1	23621	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	323848	93.2%
1	23621	6.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_superstructure_cement_mortar_brick
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	321440
1	26029

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	321440	92.5%
1	26029	7.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	321440	92.5%
1	26029	7.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_superstructure_timber
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	258995
1	88474

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	258995	74.5%
1	88474	25.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	258995	74.5%
1	88474	25.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_superstructure_bamboo
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	318046
1	29423

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	318046	91.5%
1	29423	8.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	318046	91.5%
1	29423	8.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_superstructure_rc_non_engineered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	332678
1	14791

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	332678	95.7%
1	14791	4.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	332678	95.7%
1	14791	4.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_superstructure_rc_engineered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	341964
1	5505

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	341964	98.4%
1	5505	1.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	341964	98.4%
1	5505	1.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_superstructure_other
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	342243
1	5226

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	342243	98.5%
1	5226	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	342243	98.5%
1	5226	1.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

legal_ownership_status
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

v	334633
a	7307
w	3539
r	1990

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	v
2nd row	v
3rd row	v
4th row	v
5th row	v

Common Values

Value	Count	Frequency (%)
v	334633	96.3%
a	7307	2.1%
w	3539	1.0%
r	1990	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v	334633	96.3%
a	7307	2.1%
w	3539	1.0%
r	1990	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

count_families
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.9837395566

Minimum	0
Maximum	9
Zeros	27937
Zeros (%)	8.0%
Negative	0
Negative (%)	0.0%
Memory size	2.7 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	9
Range	9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4193854935
Coefficient of variation (CV)	0.4263176069
Kurtosis	17.24872251
Mean	0.9837395566
Median Absolute Deviation (MAD)	0
Skewness	1.627559333
Sum	341819
Variance	0.1758841922
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	301377	86.7%
0	27937	8.0%
2	15010	4.3%
3	2415	0.7%
4	547	0.2%
5	135	< 0.1%
6	33	< 0.1%
7	8	< 0.1%
9	4	< 0.1%
8	3	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	27937	8.0%
1	301377	86.7%
2	15010	4.3%
3	2415	0.7%
4	547	0.2%
5	135	< 0.1%
6	33	< 0.1%
7	8	< 0.1%
8	3	< 0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
9	4	< 0.1%
8	3	< 0.1%
7	8	< 0.1%
6	33	< 0.1%
5	135	< 0.1%
4	547	0.2%
3	2415	0.7%
2	15010	4.3%
1	301377	86.7%
0	27937	8.0%

has_secondary_use
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	308630
1	38839

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	308630	88.8%
1	38839	11.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	308630	88.8%
1	38839	11.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_secondary_use_agriculture
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	325124
1	22345

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	325124	93.6%
1	22345	6.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	325124	93.6%
1	22345	6.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_secondary_use_hotel
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	335764
1	11705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	335764	96.6%
1	11705	3.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	335764	96.6%
1	11705	3.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_secondary_use_rental
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	344642
1	2827

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	344642	99.2%
1	2827	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	344642	99.2%
1	2827	0.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_secondary_use_institution
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	347136
1	333

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	347136	99.9%
1	333	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	347136	99.9%
1	333	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_secondary_use_school
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	347343
1	126

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	347343	> 99.9%
1	126	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	347343	> 99.9%
1	126	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_secondary_use_industry
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	347103
1	366

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	347103	99.9%
1	366	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	347103	99.9%
1	366	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_secondary_use_health_post
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	347411
1	58

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	347411	> 99.9%
1	58	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	347411	> 99.9%
1	58	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_secondary_use_gov_office
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	347421
1	48

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	347421	> 99.9%
1	48	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	347421	> 99.9%
1	48	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_secondary_use_use_police
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	347442
1	27

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	347442	> 99.9%
1	27	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	347442	> 99.9%
1	27	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

has_secondary_use_other
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

0	345709
1	1760

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	345709	99.5%
1	1760	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	345709	99.5%
1	1760	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	building_id	geo_level_1_id	geo_level_2_id	geo_level_3_id	count_floors_pre_eq	age	area_percentage	height_percentage	land_surface_condition	foundation_type	roof_type	ground_floor_type	other_floor_type	position	plan_configuration	has_superstructure_adobe_mud	has_superstructure_mud_mortar_stone	has_superstructure_cement_mortar_brick	has_superstructure_timber	has_superstructure_bamboo	legal_ownership_status	count_families	has_secondary_use	has_secondary_use_agriculture
0	0	802906	6	487	12198	2	30	6	5	t	r	n	f	q	t	d	1	1	0	0	0	v	1	0	0
1	1	28830	8	900	2812	2	10	8	7	o	r	n	x	q	s	d	0	1	0	0	0	v	1	0	0
2	2	94947	21	363	8973	2	10	5	5	t	r	n	f	x	t	d	0	1	0	0	0	v	1	0	0
3	3	590882	22	418	10694	2	10	6	5	t	r	n	f	x	s	d	0	1	0	1	1	v	1	0	0
4	4	201944	11	131	1488	3	30	8	9	t	r	n	f	x	s	d	1	0	0	0	0	v	1	0	0
5	5	333020	8	558	6089	2	10	9	5	t	r	n	f	q	s	d	0	1	0	0	0	v	1	1	1
6	6	728451	9	475	12066	2	25	3	4	n	r	n	x	q	s	d	0	1	0	0	0	v	1	0	0
7	7	475515	20	323	12236	2	0	8	6	t	w	q	v	x	s	u	0	0	1	1	0	v	1	0	0
8	8	441126	0	757	7219	2	15	8	6	t	r	q	f	q	s	d	0	1	0	1	0	v	1	0	0
9	9	989500	26	886	994	1	0	13	4	t	i	n	v	j	s	d	0	0	1	0	0	v	1	0	0

Last rows

	df_index	building_id	geo_level_1_id	geo_level_2_id	geo_level_3_id	count_floors_pre_eq	age	area_percentage	height_percentage	land_surface_condition	foundation_type	roof_type	ground_floor_type	other_floor_type	position	plan_configuration	has_superstructure_adobe_mud	has_superstructure_mud_mortar_stone	has_superstructure_stone_flag	has_superstructure_cement_mortar_brick	has_superstructure_timber	has_superstructure_bamboo	has_superstructure_rc_non_engineered	has_superstructure_rc_engineered	legal_ownership_status	count_families	has_secondary_use	has_secondary_use_agriculture	has_secondary_use_hotel
347459	86858	290842	17	1149	5807	3	5	5	5	t	r	n	f	q	s	d	0	1	0	0	1	1	0	0	v	1	0	0	0
347460	86859	330371	4	55	1996	2	25	9	5	t	r	q	f	q	s	d	0	1	0	0	0	0	0	0	v	1	0	0	0
347461	86860	698612	20	173	5183	2	10	9	5	t	w	q	f	x	s	u	0	0	0	0	1	0	0	0	v	1	0	0	0
347462	86861	445192	6	460	9258	2	5	14	6	t	r	x	x	s	s	d	0	0	0	0	0	0	1	0	v	1	0	0	0
347463	86862	640115	7	1166	406	2	5	16	5	t	i	x	v	s	s	d	0	0	0	0	0	0	0	1	v	2	1	0	1
347464	86863	310028	4	605	3623	3	70	20	6	t	r	q	f	q	t	d	0	1	0	0	1	0	0	0	w	1	1	1	0
347465	86864	663567	10	1407	11907	3	25	6	7	n	r	n	f	q	s	d	1	1	1	0	0	0	0	0	v	1	0	0	0
347466	86865	1049160	22	1136	7712	1	50	3	3	t	r	n	f	j	s	d	0	1	0	0	1	0	0	0	v	1	0	0	0
347467	86866	442785	6	1041	912	2	5	9	5	t	r	n	f	q	s	d	1	1	0	0	0	0	0	0	a	1	0	0	0
347468	86867	501372	26	36	6436	2	10	11	4	t	r	q	v	q	s	d	0	0	0	1	0	0	0	0	v	1	0	0	0

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script